Self-organizing migrating algorithm: review, improvements and comparison

L Skanderova - Artificial Intelligence Review, 2023 - Springer
The self-organizing migrating algorithm (SOMA) is a population-based meta-heuristic that
belongs to swarm intelligence. In the last 20 years, we can observe two main streams in the …

A new hybrid algorithm to solve bound-constrained nonlinear optimization problems

A Duary, MS Rahman, AA Shaikh, STA Niaki… - Neural Computing and …, 2020 - Springer
The goal of this work is to propose a hybrid algorithm called real-coded self-organizing
migrating genetic algorithm by combining real-coded genetic algorithm (RCGA) and self …

An integrated application of IoT‐based WSN in the field of indian agriculture system using hybrid optimization technique and machine learning

A Banerjee, A Mitra, A Biswas - … informatics: automation using …, 2021 - Wiley Online Library
The goal of this chapter is to propose an integrated application of the Internet of Things‐
based Wireless Sensor Network in the arena of the Indian Agriculture System using the …

[HTML][HTML] Discrete self-organising migrating algorithm for flow-shop scheduling with no-wait makespan

D Davendra, I Zelinka, M Bialic-Davendra… - … and Computer Modelling, 2013 - Elsevier
This paper introduces a novel Discrete Self-Organising Migrating Algorithm for the task of
flow-shop scheduling with no-wait makespan. The new algorithm is tested with the small and …

Particle swarm optimization algorithm driven by multichaotic number generator

M Pluhacek, R Senkerik, I Zelinka - Soft Computing, 2014 - Springer
In this paper, the utilization of different chaotic systems as pseudo-random number
generators (PRNGs) for velocity calculation in the PSO algorithm are proposed. Two chaos …

An algorithm for swarm robot to avoid multiple dynamic obstacles and to catch the moving target

QB Diep, I Zelinka, R Senkerik - … ICAISC 2019, Zakopane, Poland, June 16 …, 2019 - Springer
This paper presents a method for swarm robot to catch the moving target and to avoid
multiple dynamic obstacles in the unknown environment. An imaginary map is built …

[PDF][PDF] A genetic algorithm based hybrid approach for reliabilityredundancy optimization problem of a series system with multiple-choice

AK Bhunia, A Duary, L Sahoo - International Journal of Mathematical …, 2017 - academia.edu
The goal of this paper is to introduce an application of hybrid algorithm in reliability
optimization problems for a series system with parallel redundancy and multiple choice …

[HTML][HTML] Analytic programming in the task of evolutionary synthesis of a controller for high order oscillations stabilization of discrete chaotic systems

ZK Oplatkova, R Senkerik, I Zelinka… - Computers & Mathematics …, 2013 - Elsevier
This paper deals with the utilization of a symbolic regression tool, which is Analytic
Programming (AP), together with two evolutionary algorithms, the Self-Organizing Migrating …

[HTML][HTML] Synthesis of feedback controller for three selected chaotic systems by means of evolutionary techniques: Analytic programming

R Senkerik, Z Oplatkova, I Zelinka… - … and Computer Modelling, 2013 - Elsevier
This research deals with the utilization of analytic programming for a synthesis of control law
for three selected discrete chaotic systems. The novelty of the approach is that a tool for …

Bayesian optimisation to select Rössler system parameters used in Chaotic Ant Colony Optimisation for Coverage

M Rosalie, E Kieffer, MR Brust, G Danoy… - Journal of computational …, 2020 - Elsevier
Abstract The CACOC (Chaotic Ant Colony Optimisation for Coverage) algorithm has been
developed to manage the mobility of a swarm of Unmanned Aerial Vehicles (UAVs). Using a …